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An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties

Crossref DOI link: https://doi.org/10.1038/s41524-023-01037-0

Published Online: 2023-05-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shargh, Ali K. https://orcid.org/0000-0002-5588-8938
Abdolrahim, Niaz https://orcid.org/0000-0002-9333-8179
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Text and Data Mining valid from 2023-05-27

Version of Record valid from 2023-05-27
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Article History

Received: 21 December 2022

Accepted: 7 May 2023

First Online: 27 May 2023

Competing interests

: The authors declare no competing interests.